Information Retrieval: A Survey

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自然语言处理与信息检索共享平台 mEE6\dyb|

Information Retrieval: A Survey自然语言处理与信息检索共享平台T3w:^.t_*E
30 November 2000
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[\5z5_tXe(B]%ZDi0Ed Greengrass自然语言处理与信息检索共享平台 QY.xeyFn q HM
Abstract自然语言处理与信息检索共享平台C ]c({Jr\6P
Information Retrieval (IR) is the discipline that deals with retrieval of unstructured自然语言处理与信息检索共享平台 x"Y8j.gt ]:A*_H,_V
data, especially textual documents, in response to a query or topic statement, which自然语言处理与信息检索共享平台Y.tFL @#Y2v+{`
may itself be unstructured, e.g., a sentence or even another document, or which may自然语言处理与信息检索共享平台#\ w Lu8U:H{
be structured, e.g., a boolean expression. The need for effective methods of automated自然语言处理与信息检索共享平台$yR@ ciB+^ Us5S
IR has grown in importance because of the tremendous explosion in the
)F+UXS)_L+y0amount of unstructured data, both internal, corporate document collections, and the自然语言处理与信息检索共享平台"gb"@l2FN\*Rt4}
immense and growing number of document sources on the Internet. This report is a
Ec,|@jA,PE)_[0tutorial and survey of the state of the art, both research and commercial, in this自然语言处理与信息检索共享平台R#\{(MI&v)s[6s
dynamic field. The topics covered include: formulation of structured and unstructured自然语言处理与信息检索共享平台 N!vEGPy'\U
queries and topic statements, indexing (including term weighting) of document
| aM'\4D$u?lC0collections, methods for computing the similarity of queries and documents,
3@3I8x9y"? Q,T-w'h1@0classification and routing of documents in an incoming stream to users on the basis
f LJ\'Q n0of topic or need statements, clustering of document collections on the basis of language自然语言处理与信息检索共享平台jq2W1{7pHBF`
or topic, and statistical, probabilistic, and semantic methods of analyzing and
)~y+VL!ioT2f0retrieving documents.自然语言处理与信息检索共享平台(q4`G8l:I&M9}}

自然语言处理与信息检索共享平台 G U5FdwXo R R]

information-retrieval-a-survey.pdf(1.07 MB)

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